Coursera 吴恩达 机器学习 课程 week1 的笔记

What is Machine Learning?

Arthur Samuel termed this concept as: a body of knowledge that enables machines to learn without explicit programming. This constitutes an older, less formal characterization.

A computer program can learn from experience E in the context of a set of tasks T and a performance metric P. It is able to improve its performance on tasks within T when evaluated using P during experience E.

Example: playing checkers.

E = the experience of playing many games of checkers

T = the task of playing checkers.

P = the probability that the program will win the next game.